Adaptive cache server selection and resource allocation strategy in mobile edge computing
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
International journal of information communication technologies and human development (ijicthd)
Abstract
The enormous increase of data traffic generated by mobile devices emanate challenges for both internet
service providers (ISP) and content service provider (CSP). The objective of this paper is to propose
the cost-efficient design for content delivery that selects the best cache server to store repeatedly
accessed contents. The proposed strategy considers both caching and transmission costs. To achieve the
equilibrium of transmission cost and caching cost, a weighted cost model based on entropy-weighting-
method (EWM) is proposed. Then, an adaptive cache server selection and resource allocation strategy
based on deep-reinforcement-learning (DRL) is proposed to place the cache on best edge server closer
to end-user. The proposed method reduces the cost of service delivery under the constraints of meeting
server storage capacity constraints and deadlines. The simulation experiments show that the proposed
strategy can effectively improve the cache-hit rate and reduce the cache-miss rate and content access costs.
Description
Journal Article
Keywords
Cache Server Selection, Content Delivery, Content Service Provider, Cost Effective, Deep Reinforcement Learning, End User, Mobile Edge Computing, Resource Allocation